Student Assistant for LLM-based Robotics and Coding | Studentische Hilfskraft für LLM based Robotic and Coding
Fraunhofer-Gesellschaft e.V. Zentrale München
Job Summary
This role involves contributing to cutting-edge research at the intersection of Large Language Models (LLMs), robotics, and multi-agent systems within the Fraunhofer IAIS. The Student Assistant will focus on the conception and development of innovative prototypes and demonstrators, exploring how LLMs, Vision-Language Models (VLMs), and agent-based systems can simplify the control and programming of robots. Key responsibilities include researching and evaluating current KI technologies for robotics, integrating intelligent procedures like NLP and ROS into agent-based architectures, and implementing intelligent agents, primarily using Python. This position is ideal for a student passionate about AI and robotics who wants to apply academic knowledge to real-world use cases, work closely with researchers, and contribute their own ideas in a flexible, international research environment.
Required Skills
Education
Current enrollment in Computer Science, Artificial Intelligence, Mathematics, Data Science, or a related field of study
Experience
- Practical experience with Large Language Models (LLMs) is advantageous
- Practical experience with Vision-Language Models (VLMs) and Vision-Language-Action Models (VLAs) is advantageous
- Initial practical experience with Robotics and ROS is beneficial (e.g., through projects or courses)
- Experience working on AI-related projects is desirable
Languages
Additional
- The position is initially limited to 1 year, with the possibility of extension. Weekly working hours are 20 hours.
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